A tomographic analysis of reflectometry data I: Component factorization
Plasma Physics
2015-05-13 v1 Data Analysis, Statistics and Probability
Abstract
Many signals in Nature, technology and experiment have a multi-component structure. By spectral decomposition and projection on the eigenvectors of a family of unitary operators, a robust method is developed to decompose a signals in its components. Different signal traits may be emphasized by different choices of the unitary family. The method is illustrated in simulated data and on data obtained from plasma reflectometry experiments in the tore Supra.
Keywords
Cite
@article{arxiv.0807.2744,
title = {A tomographic analysis of reflectometry data I: Component factorization},
author = {Francoise Briolle and Ricardo Lima and Vladimir I. Man'ko and R. Vilela Mendes},
journal= {arXiv preprint arXiv:0807.2744},
year = {2015}
}
Comments
27 pages Latex, 17 figures